InequalityToEquality

class InequalityToEquality

GitHub

Convert inequality constraints into equality constraints by introducing slack variables.

Examples

>>> from qiskit.optimization.problems import QuadraticProgram
>>> from qiskit.optimization.converters import InequalityToEquality
>>> problem = QuadraticProgram()
>>> # define a problem
>>> conv = InequalityToEquality()
>>> problem2 = conv.encode(problem)

Methods

decode

InequalityToEquality.decode(result)

Convert a result of a converted problem into that of the original problem.

Parameters

result (OptimizationResult) - The result of the converted problem.

Return type

OptimizationResult

Returns

The result of the original problem.

encode

InequalityToEquality.encode(op, name=None, mode='auto')

Convert a problem with inequality constraints into one with only equality constraints.

Parameters

$op (QuadraticProgram) - The problem to be solved, that may contain inequality constraints.$
$name (Optional [str]) - The name of the converted problem.$
mode (str) –

To chose the type of slack variables. There are 3 options for mode.
- $’integer’: All slack variables will be integer variables.$
- $’continuous’: All slack variables will be continuous variables$
- $’auto’: Try to use integer variables but if it’s not possible,$ $use continuous variables$

Return type

QuadraticProgram

Returns

The converted problem, that contain only equality constraints.

Raises

QiskitOptimizationError – If a variable type is not supported.
QiskitOptimizationError – If an unsupported mode is selected.
QiskitOptimizationError – If an unsupported sense is specified.

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